
\begin{table}[h]
\begin{center}
\begin{tabular}{l c c c c c c}
\hline
 & Model 1 & Model 2 & Model 3 & Model 4 & Model 5 & Model 6 \\
\hline
Male                    & $0.26^{***}$ & $0.29^{***}$ & $0.38^{***}$  & $0.38^{***}$  & $0.14$       & $0.40^{***}$  \\
                        & $(0.08)$     & $(0.08)$     & $(0.06)$      & $(0.07)$      & $(0.12)$     & $(0.07)$      \\
2019                    & $0.33^{***}$ & $0.32^{***}$ & $0.21^{**}$   & $0.22^{**}$   & $0.44^{**}$  & $0.19^{**}$   \\
                        & $(0.08)$     & $(0.08)$     & $(0.07)$      & $(0.07)$      & $(0.14)$     & $(0.07)$      \\
Male*2019               & $-0.12$      & $-0.12$      & $-0.26^{**}$  & $-0.26^{**}$  & $-0.00$      & $-0.26^{**}$  \\
                        & $(0.10)$     & $(0.10)$     & $(0.08)$      & $(0.09)$      & $(0.17)$     & $(0.09)$      \\
Council of States       &              &              & $2.05^{***}$  & $2.04^{***}$  & $0.51^{***}$ & $2.58^{***}$  \\
                        &              &              & $(0.13)$      & $(0.12)$      & $(0.10)$     & $(0.17)$      \\
Top list                &              &              & $-0.04^{***}$ & $-0.04^{***}$ & $-0.03$      & $-0.04^{***}$ \\
                        &              &              & $(0.00)$      & $(0.00)$      & $(0.02)$     & $(0.00)$      \\
incumbent               &              &              & $2.61^{***}$  & $2.60^{***}$  &              &               \\
                        &              &              & $(0.09)$      & $(0.09)$      &              &               \\
(Intercept)             & $2.86^{***}$ & $2.87^{***}$ & $2.11^{***}$  & $2.24^{***}$  & $5.36^{***}$ & $2.07^{***}$  \\
                        & $(0.11)$     & $(0.15)$     & $(0.11)$      & $(0.18)$      & $(0.26)$     & $(0.12)$      \\
\hline
Multilevel              &              & \checkmark   &               & \checkmark    &              &               \\
Party FEs               & \checkmark   & \checkmark   & \checkmark    & \checkmark    & \checkmark   & \checkmark    \\
Cantonal FEs            &              &              & \checkmark    &               & \checkmark   & \checkmark    \\
AIC                     & $52321.02$   & $52241.44$   & $49394.90$    & $49457.30$    & $5442.47$    & $43561.50$    \\
BIC                     & $52395.57$   & $52322.77$   & $49659.22$    & $49558.97$    & $5592.89$    & $43816.70$    \\
Log Likelihood          & $-26149.51$  & $-26108.72$  & $-24658.45$   & $-24713.65$   & $-2683.23$   & $-21742.75$   \\
Deviance                & $7745.02$    & $$           & $7512.94$     & $$            & $453.73$     & $7016.85$     \\
Num. obs.               & $6486$       & $6486$       & $6486$        & $6486$        & $387$        & $6099$        \\
Num. groups: canton     & $$           & $26$         & $$            & $26$          & $$           & $$            \\
Var: canton (Intercept) & $$           & $0.18$       & $$            & $0.53$        & $$           & $$            \\
\hline
\multicolumn{7}{l}{\scriptsize{$^{***}p<0.001$; $^{**}p<0.01$; $^{*}p<0.05$}}
\end{tabular}
\caption{Statistical negative binomial models of important predictors of media coverage, operationalized as the daily frequency of newspaper mentions of female political candidates. Model 1a is the baseline model controlling for the party effect of the gender gap. Model 2a displays the effect of media coverage with all important predictors, while 2c displays the effect for the same predictors looking only at the incumbents and 2d for all non-incumbents. Both model 1b and model 2b are the same models using a multilevel approach with the cantons as level two variable.}
\label{table:results_mentions}
\end{center}
\end{table}
